SFO ORD

By Robert Ellison. Updated on Sunday, October 19, 2025.

Google Pixel 8 Pro 18mm f2.8 1/140s ISO16

AA3130

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Homer

By Robert Ellison.

Timelapse of sunset, moonrise and sunrise from Homer in Alaska.

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Grewingk Glacier

By Robert Ellison. Updated on Sunday, October 19, 2025.

Hike to the Grewingk Glacier in Kachemak Bay State Park. Inaccessible by car, so it's a boat ride from Homer to across the trail and pick you up at the other end. Lots of varied forest and then the glacier is incredible.

Hike starts at: 59.612729, -151.190267. View in Google Earth.

Updated 2025-08-02 18:53:

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Savage Alpine Trail

By Robert Ellison. Updated on Wednesday, October 22, 2025.

One way four mile trail from Savage Campground to Savage River in Denali National Park. There is a free shuttle bus back (and to the entrance area if no parking deeper in the park). This direction is 1,500 fet up and then 1,700 down with the descent in just a mile and a half. Fantastic variety of terrain and scenery.

Hike starts at: 63.715504, -149.254807. View in Google Earth.

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East Fork Toklat River

By Robert Ellison. Updated on Wednesday, October 22, 2025.

Four mile out and back hike along the Toklat River in Denali National Park. No trails in this part of the park, just pick a direction and go. Until a bridge is repaired this is the last stop on the park road bus route.

Hike starts at: 63.558897, -149.794342. View in Google Earth.

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SEA FAI

By Robert Ellison. Updated on Saturday, October 11, 2025.

Google Pixel 8 Pro 7mm f1.7 1/800s ISO21

AS167

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SFO SEA

By Robert Ellison. Updated on Sunday, October 19, 2025.

Google Pixel 8 Pro 7mm f1.7 1/1,500s ISO21

AS591

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Get an email when a new OpenAI model is available via the API

By Robert Ellison. Updated on Sunday, October 5, 2025.

Here's a simple Google Apps Script to monitor for new OpenAI models:

To get this running, paste into a new Apps Script project and enable the Gmail API under services. Add your email address and OpenAI API Key at the top. Run a couple of times and you should get an email with all the current models and then nothing the second time unless you get lucky. On Triggers set a scheduled execution with whatever frequency feels good (I use daily) and you're all set.

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More Google Apps Script Projects

(All Code Posts)

(Published to the Fediverse as: Get an email when a new OpenAI model is available via the API #code #software #appsscript #google #gmail #openai #ai Simple Google Apps Script project that will send you an email any time OpenAI releases a new model to their API. )

Yerba Buena Island Timelapse

By Robert Ellison.

Timelapse shot from Panoramic Park at the top of Yerba Buena Island. This features the Point of Infinity sculpture, the Bay Bridge, Treasure Island, Angel Island, Alcatraz, the Golden Gate Bridge and downtown San Francisco.

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Set Todoist Label Colors Automatically Using OpenAI Embeddings

By Robert Ellison.

From the department of things I wouldn't have bothered with a year ago, here's a python script to set Todoist label colors.

Why? I like a productivity environment with some color and flare, and it also helps to visually recognize what a task relates to. But setting label colors is more clicks than I have patience for.

How? Just figure out embeddings for each available color and then for each label. Use cosine similarity to set the color that best suits each label. Colors will stay consistent for existing labels and new ones will get just a dash of semantic meaning in their assignments.

Here's the code (you need an OpenAI API key and a Todoist API token set as environment variables):

import os from todoist_api_python.api import TodoistAPI from openai import OpenAI import numpy as np # Todoist palette colors from https://developer.todoist.com/api/v1#tag/Colors colors = [ {"id": 30, "name": "berry_red", "hex": "#B8255F"}, {"id": 31, "name": "red", "hex": "#DC4C3E"}, {"id": 32, "name": "orange", "hex": "#C77100"}, {"id": 33, "name": "yellow", "hex": "#B29104"}, {"id": 34, "name": "olive_green", "hex": "#949C31"}, {"id": 35, "name": "lime_green", "hex": "#65A33A"}, {"id": 36, "name": "green", "hex": "#369307"}, {"id": 37, "name": "mint_green", "hex": "#42A393"}, {"id": 38, "name": "teal", "hex": "#148FAD"}, {"id": 39, "name": "sky_blue", "hex": "#319DC0"}, {"id": 40, "name": "light_blue", "hex": "#6988A4"}, {"id": 41, "name": "blue", "hex": "#4180FF"}, {"id": 42, "name": "grape", "hex": "#692EC2"}, {"id": 43, "name": "violet", "hex": "#CA3FEE"}, {"id": 44, "name": "lavender", "hex": "#A4698C"}, {"id": 45, "name": "magenta", "hex": "#E05095"}, {"id": 46, "name": "salmon", "hex": "#C9766F"}, #{"id": 47, "name": "charcoal", "hex": "#808080"}, #{"id": 48, "name": "grey", "hex": "#999999"}, {"id": 49, "name": "taupe", "hex": "#8F7A69"}, ] # OpenAI Client oai = OpenAI() # Embedding helper def get_embedding(text): # Replace underscores and hyphens with spaces formatted_text = text.replace('_', ' ').replace('-', ' ') response = oai.embeddings.create( input=formatted_text, model="text-embedding-3-small" ) return response.data[0].embedding # Add embeddings to each color in the colors list print("Generating embeddings for colors...") for color in colors: color["embedding"] = get_embedding(color["name"]) # Get API token from environment variable for security # You need to set this environment variable with your Todoist API token api_token = os.environ.get("TODOIST_API_TOKEN") if not api_token: print("Error: TODOIST_API_TOKEN environment variable not set") exit(1) # Initialize the Todoist API client api = TodoistAPI(api_token) try: # Get all labels labels = api.get_labels() for label_iter in labels: for label in label_iter: embedding = get_embedding(label.name) # Fix the calculation of similarities - create a proper comparison array color_embeddings = np.array([color["embedding"] for color in colors]) # Calculate similarities correctly - each embedding is a 1536-dim vector similarities = np.array([np.dot(embedding, color_embedding) / (np.linalg.norm(embedding) * np.linalg.norm(color_embedding)) for color_embedding in color_embeddings]) # Find the color with the highest similarity max_index = np.argmax(similarities) new_color = colors[max_index]["name"] print(f"Setting {label.name} to {new_color}") api.update_label( label_id=label.id, color=new_color ) except Exception as error: print(f"Error: {error}")

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SFO ORD

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Homer

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